Turbine is mission control for autonomous agents. Agents operate. Policy constrains. Evidence accumulates. People hold the only role that cannot be delegated: authority.
The last generation of software put people in front of dashboards and called it control. A dashboard is a queue — decisions wait in it. Turbine is built so nothing waits: agents operate the business, and people govern the agents.
READ THE DOCTRINE →Releases advance through staging, canary, and fleet on health evidence. Failures revert without operator intervention.
→ Deployment pipeline 02 / GOVERNEvery action is authorized by declared policy, executed within budget, and recorded with full provenance.
→ Governance model 03 / RUNAll agents operate on a single runtime with continuous heartbeat, hard resource limits, and bounded failure domains.
→ Runtime architecture 04 / BUILDCustomer-owned applications deploy through the same gated pipeline the platform uses for itself.
→ SurfacesRelease tracks, policy enforcement, and the evidence ledger operate identically across every deployment model.
Isolated environments provisioned in under sixty seconds.
→ Details DEDICATEDLocal inference. Data and tokens remain in the environment.
→ Details EDGEManaged devices — screens, terminals, sensors — disconnection-tolerant.
→ Details ON-PREMISESOutbound-only connectivity. Qualified deployments.
→ DetailsOne environment per business — every location it operates, every device on its floors. Declared once, converged continuously, governed by one authority.
The fleet continuously converges on the declared manifest. Drift is corrected, not reported.
→ Convergence TOPOLOGYOne registry from datacenter to shop floor. Placement by policy, capacity as a pool.
→ Topology OPERATIONSFleet operations are typed, budgeted, and recorded — executed by agents, approved by people.
→ Agent operationsTurbine onboards a limited number of organizations each quarter. Selection favors operations prepared to run under agents.